Author

Chen-Ping Yu

Harvard University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Bria LongiD· 1 shared Dimitrios Samaras· 1 shared Gregory J. ZelinskyiD· 1 shared Huidong LiuiD· 1 shared Talia KonkleiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperNeuroscience

Bria LongORCID

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2 papers

Recent·Most cited

NeuroscienceVisual CognitionPeer-reviewedSep 5, 2019

Modeling Attention Control Using A Convolutional Neural Network Designed After The Ventral Visual Pathway

Chen-Ping Yu, Huidong Liu, Dimitrios Samaras, Gregory J. Zelinsky

The paper designs a brain-inspired CNN based on the ventral visual pathway to extract category-consistent features and shows it predicts attention control better than other models.

7 citations

deep learningstatistical model

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NeuroscienceProceedings of the National Academy of SciencesPeer-reviewedAug 31, 2018

A mid-level organization of the ventral stream

Bria Long, Chen-Ping Yu, Talia Konkle

The paper investigates how mid-level features explain large-scale organization in the ventral stream using novel stimuli called texforms.

244 citationstop 1%

humanimaging

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